Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi-A Case Study of Shenzhen
He, Bing1; Liu, Kang1,2,3; Xue, Zhe1; Liu, Jiajun4; Yuan, Diping5; Yin, Jiyao5; Wu, Guohua5,6
Corresponding AuthorLiu, Kang(kang.liu@siat.ac.cn)
AbstractTourism networks are an important research part of tourism geography. Despite the significance of transportation in shaping tourism networks, current studies have mainly focused on the "daily behavior" of urban travel at the expense of tourism travel, which has been regarded as an "exceptional behavior". To fill this gap, this study proposes a framework for exploring the spatial and temporal characteristics of urban tourism travel by taxi. We chose Shenzhen, a densely populated mega-city in China with abundant tourism resources, as a case study. First, we extracted tourist trips from taxi trajectories and used kernel density estimation to analyze the spatial aggregation characteristics of tourist trip origins. Second, we investigated the spatial dependence of tourist trips using local spatial autocorrelation analysis (Getis-Ord Gi*). Third, we explored the correlations between the tourist trip origins and urban geographic contextual factors (e.g., catering services and transportation facilities) using a geographically weighted regression model. The results show the following: (1) the trends between the coverage of tourist travel networks and the volume of tourist trips are similar; (2) the spatial interaction intensity of urban tourism has grouping and hierarchical characteristics; and (3) the spatial distribution of tourist trips by taxi is uneven and influenced by the distribution of urban morphology, tourism resources, and the preferences of taxi pick-up passengers. Our proposed framework and revealed spatial and temporal patterns have implications for urban tourism traffic planning, tourism product development, and tourist flow control in tourist attractions.
Keywordtourist flow spatial-temporal dynamic taxi trajectory data spatial structure Shenzhen
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[41901391] ; National Natural Science Foundation of China[41701167] ; Shenzhen Fundamental Research Program[JCYJ20190812171419161] ; Shenzhen Fundamental Research Program[JCYJ20190807163001783] ; State Key Laboratory of Resources and Environmental Information System
Funding OrganizationNational Natural Science Foundation of China ; Shenzhen Fundamental Research Program ; State Key Laboratory of Resources and Environmental Information System
WOS Research AreaComputer Science ; Physical Geography ; Remote Sensing
WOS SubjectComputer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS IDWOS:000676138600001
Citation statistics
Document Type期刊论文
Corresponding AuthorLiu, Kang
Affiliation1.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Big Data & Pervas GIS Grp, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Shandong Zhengyuan Geophys Informat Technol CO LT, Jinan 250101, Peoples R China
5.Shenzhen Urban Publ Safety & Technol Inst, Shenzhen 518000, Peoples R China
6.Shenzhen Urban Transport Planning Ctr CO LTD, Shenzhen 518063, Peoples R China
Recommended Citation
GB/T 7714
He, Bing,Liu, Kang,Xue, Zhe,et al. Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi-A Case Study of Shenzhen[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(7):18.
APA He, Bing.,Liu, Kang.,Xue, Zhe.,Liu, Jiajun.,Yuan, Diping.,...&Wu, Guohua.(2021).Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi-A Case Study of Shenzhen.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(7),18.
MLA He, Bing,et al."Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi-A Case Study of Shenzhen".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.7(2021):18.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[He, Bing]'s Articles
[Liu, Kang]'s Articles
[Xue, Zhe]'s Articles
Baidu academic
Similar articles in Baidu academic
[He, Bing]'s Articles
[Liu, Kang]'s Articles
[Xue, Zhe]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[He, Bing]'s Articles
[Liu, Kang]'s Articles
[Xue, Zhe]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.